Computational and Numerical Mathematics
A section of AppliedMath (ISSN 2673-9909).
Section Information
This Section is committed to promoting methodological innovation, algorithm optimization of computational and numerical mathematics, and their applications in scientific and engineering problems. Its core concerns include numerical approximation and interpolation, finite element/finite volume methods, numerical linear algebra, high-performance computing and parallel algorithms, numerical solutions of fractional differential equations, and numerical simulation of multiphysics coupling problems. It particularly welcomes studies exploring the intersection of this field with fluid mechanics, electromagnetic fields, materials science, and artificial intelligence (e.g., combination of numerical algorithms and deep learning). As a key Section of the AppliedMath journal, it aims to provide a platform for research on “solving practical problems through numerical computing,” complementing the journal’s coverage in the direction of “connection between computational tools and engineering applications” and facilitating the transformation of theoretical algorithms into engineering practice.
Editorial Board
Special Issues
Following special issues within this section are currently open for submissions:
- Nonlinear Dynamics and Complex Phenomena in Fluid Mechanics and Related Systems (Deadline: 31 March 2026)
- Advanced Mathematical Modeling, Dynamics and Applications (Deadline: 30 April 2026)
- Mathematical Innovations in Thermal Dynamics and Optimization (Deadline: 31 May 2026)
- Mathematical Modeling and Optimization in Advanced Composite Materials and Structures (Deadline: 31 July 2026)
- Advances in Iterative Methods and Stability Analysis for Solving Nonlinear Problems (Deadline: 31 August 2026)
- Applied Mathematical Modelling in Mechanical Design and Analysis (Deadline: 30 September 2026)
- Applied Mathematical Modeling and Machine Learning for Geomechanics and Superconducting Materials (Deadline: 30 September 2026)
- Optimization and Machine Learning (Deadline: 31 October 2026)
- Computer Science, Machine Learning, Algorithms, and Applied Mathematics (Deadline: 31 October 2026)
- Application of Computational Mathematics and Artificial Intelligence in Numerical Simulations (Deadline: 30 November 2026)
- Advances in Intelligent Control for Solving Optimization Problems (Deadline: 31 December 2026)
- Constructive Sampling Frameworks in Signal Processing and Modern Data Analysis (Deadline: 31 December 2026)
